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Reporting to the Head of IT and guided by a team of experts, this newly created Data Engineer position has been introduced to enhance customer experience and drive efficiency through data. Experience in data engineering is a must, as is experience with SQL, ETL, data modelling, Python, PySpark and Azure, so if that sounds like you, please do get in touch!
What’s in it for you?
- Work hours: Monday to Friday: 9am to 5pm
- Salary: £50,000 - £60,000
- 28 Days Holiday
- Birthday Off
- BUPA Healthcare
- Matched Pension Contribution
- Monthly Half Day Off for Wellbeing
Data Engineer Responsibilities:
- Design and implement robust data pipelines and systems that can scale alongside the business
- Support the business through business intelligence and analytics by building and maintaining data models
- Use Azure to compose and manage data workflows
- Extract and transform data using SQL / PySpark
- Write and maintain code in Python and PySpark
- Collaborate with Analysts and Data Scientists to understand data requirements
- Deliver data solutions, using your nose for data to perform analysis and troubleshoot data-related issues
Data Engineer Skills and Experience:
- Experience gained as a Data Engineer/Data Analyst
- Holds a degree in Computer Science or IT would be advantageous
- Proficient in SQL and data modelling and possesses strong Python and PySpark skills
- Experience within Azure Data Factory and Microsoft Fabric would be an advantage
- Detail-orientated and meticulous, combined with strong problem-solving skills
